Neuromorphic- Inspired Behaviour in Core-Shell Nanowire Networks

H. Manning, S. Biswas, Shailja Kumar, J. Holmes, J. Boland
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Abstract

Abstrac t-Enginee ring smart-material s with emerge nt properti es requires designi ng and characte rizing systems with desirabl e behavio urs. Neurom orphic (brain-like) architectures require plasticity, where the strength of the connections and the time with which they decay can be modulated based on the magnitude and the repetition of the applied stimuli. This functionality is emulated in our complex nanowire network material through electrical resistive switching. The formation of nano-sized filamentary connections between overlapping wires across the network facilitates a controllable transition from a high resistance state to one (or more) lower resistance states with corresponding memory retention times. We report on the neuromorphic inspired behaviors that emerge from networks of metal nanowires coated with TiO2 shells.
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核-壳纳米线网络的神经形态启发行为
摘要:具有新性能的工程环智能材料要求设计和表征具有理想性能的系统。神经形态(类脑)结构需要可塑性,其中连接的强度和它们衰减的时间可以根据所施加刺激的强度和重复来调节。这种功能是通过电阻开关在我们复杂的纳米线网络材料中模拟的。在网络上重叠的导线之间形成纳米级丝状连接,有助于从高电阻状态到一个(或多个)低电阻状态的可控过渡,并具有相应的记忆保留时间。我们报道了由涂有TiO2外壳的金属纳米线网络产生的神经形态启发行为。
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